A biometrikus azonosítás és az AI összefüggései, valamint kockázatértékelési lehetőségei

Aim: The aim of the study is to raise awareness of the links between the development of biometric identification and artificial intelligence (AI) and to present the methods developed for risk assessment of biometric identification solutions. Methodology: The authors have reviewed a wide range of Hungarian and foreign literature, academic works and legislation on the theoretical methods and context. In doing so, the methods of analysis and synthesis were applied, the subject areas were broken down into their constituent parts and studied in depth separately, thus enabling the parts to be identified. In the course of the analyses, the separate parts and areas were reorganised and integrated into a logical whole. In doing so, the interlinkages were examined and it was concluded that the uptake of biometrics is not primarily an identification technology issue, but an IT methodological issue for processing biometric data and the associated data management and security risks. In their research, induction, deduction and analogy play an important role, as they have broken down the problems into parts, analysed them and drawn conclusions, going deeper and deeper as they move from the known to the unknown. Findings: AI regulation is interlinked with biometric identification in multiple ways, and national and EU legislators are striving to create a regulatory environment of trust and confidence across the entire value chain, which can lead to a high level of trust and reduce the risks of biometric identification solutions. Value: The authors have explored the context of biometric identification, the legal background to the processing of personal data and the relationship with AI, and have highlighted the risks associated with it. They developed a specific framework for risk assessment of biometric identification solutions.